The Application of Computer Network Technology in Network Education System

Abstract

In order to solve the problem of too narrow information in the classroom due to the single content and lack of variability in the form of traditional teaching, an interactive network intelligent education system based on RBF algorithm has been proposed. Firstly, the research status of the interactive teaching intelligent system is analyzed, and then the use of artificial intelligence technology, combined with the interactive teaching method, the establishment of neuron model and RBF algorithm to determine the way of learning, and the design of an autonomous learning platform are discussed. The test results indicate that as students' learning time changes, the teaching efficiency of the system is constantly improving, and it has certain feasibility. The model proposed in this article not only changes traditional teaching methods, but also has been proven to improve students' quality, improve learning efficiency, and encourage children to enjoy learning in the environment.